AI Engineer

at  Synopsys

YOU ARE:

An exceptional AI Engineer with a passion for Generative AI and its applications in the field of integrated circuit (IC) design. You thrive in a collaborative environment and possess the technical prowess to develop cutting-edge AI solutions. You are a problem-solver who enjoys tackling complex technical challenges and delivering innovative solutions that push the boundaries of technology.

What You’ll Be Doing:

• Enhance Design Efficiency: Work with customers to understand their needs to specify and develop AI tools that automate and optimize IC design workflows, reducing time-to-market and improving overall productivity.
• Collaborate Cross-Functionally: Work closely with IC design engineers, data scientists, and software developers to integrate AI solutions seamlessly into existing EDA tools.
• Drive Research and Development: Stay abreast of the latest advancements in AI and EDA, contributing fresh ideas and approaches to our technology stack.
• Optimize Performance: Ensure that AI solutions are efficient, scalable, and meet the high-performance requirements of EDA applications.
• Prototype and Test: Develop prototypes and conduct rigorous testing to validate the performance and effectiveness of AI solutions.
• Documentation and Training: Create comprehensive documentation and provide training to internal teams and customers on the use and benefits of AI tools.

• Enhance Design Efficiency: Work with customers to understand their needs to specify and develop AI tools that automate and optimize IC design workflows, reducing time-to-market and improving overall productivity.
• Collaborate Cross-Functionally: Work closely with IC design engineers, data scientists, and software developers to integrate AI solutions seamlessly into existing EDA tools.
• Drive Research and Development: Stay abreast of the latest advancements in AI and EDA, contributing fresh ideas and approaches to our technology stack.
• Optimize Performance: Ensure that AI solutions are efficient, scalable, and meet the high-performance requirements of EDA applications.
• Prototype and Test: Develop prototypes and conduct rigorous testing to validate the performance and effectiveness of AI solutions.
• Documentation and Training: Create comprehensive documentation and provide training to internal teams and customers on the use and benefits of AI tools